Edge AI for Real-World Impact

We believe in physical open-source engineering that directly addresses regional environmental challenges, from sustainable agriculture to distributed energy systems. Our work is built on accessible hardware and shared knowledge.

TinyML, Telemetry, and Off-Grid Power

Our team is actively developing ultra-low-power machine learning models for on-device inference, enabling real-time crop disease detection and precision agriculture with hardware under $10. These solutions are designed for deployment in challenging field conditions.

Concurrently, we engineer robust, off-grid micro-hydro controllers that optimize energy harvesting and distribution in remote areas. Our designs prioritize durability and open-source principles for community adoption and adaptation.

Collaborate on the Next Frontier

Join us in advancing open hardware research and deploying field-tested solutions. We welcome academic partnerships, hardware sponsorships, and government collaborations.